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Data Engineer Project Jobs in Bolingbrook, IL (NOW HIRING)

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in building Data warehouse and Business intelligence projects * Good Experience using ... Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or ...

Sr Databricks Data Engineer

Chicago, IL

$118K - $141K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

From day one, you'll collaborate with global clients and contribute to projects that help ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... and QA Team on projects, and support delivery timelines and priorities Solves problems ...

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... and QA Team on projects, and support delivery timelines and priorities Solves problems ...

Sr. Data Engineer

Elmhurst, IL

$114K - $136K/yr

Participate in daily scrums, work with Scrum Master and QA Team on projects, and support delivery ... Multiple data engineering, cloud or talend related certifications * Experience with AWS EKS service ...

From support of Ronald McDonald House to our Youth Opportunity project and sustainability ... Department Overview We are seeking a highly skilled Data Engineer III to join the mCDP mParticle ...

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... Successful applicants for this position will be working in an agile project management process on a ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Big projects or small, Halo Group knows that by combining the highest quality talent with our ... Looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Data Engineer / Analytics Developer

Chicago, IL · On-site

$118K - $141K/yr

System Integration Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality. Visualization Engineering ...

IT Data Engineer III

Lombard, IL · On-site

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... projects. Familiarity with healthcare and/or workers' compensation terminology and business ...

IT Data Engineer III

Lombard, IL

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... projects. Familiarity with healthcare and/or workers' compensation terminology and business ...

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

... the project phases. • Design, develop, and implement components to migrate data from legacy ... data engineering, and systems architecture. • Experience deploying modern data solutions ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... Collaborate with project managers, architects, and fellow consultants to align technical delivery ...

Showing results 21-40

Data Engineer Project information

See Bolingbrook, IL salary details

$45.5K

$163.2K

$240.8K

How much do data engineer project jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer project in Bolingbrook, IL is $163,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Bolingbrook, IL?

For Data Engineer Project jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Bolingbrook, IL look for?

The top searched job categories for Data Engineer Project jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Data Engineer Project jobs?

Cities near Bolingbrook, IL with the most Data Engineer Project job openings:

Sr. Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 3 days ago


Job description

Requirement – Sr. Data Engineer

Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote)

Contract W2

PURPOSE:

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.